package com.atguigu.day11;

import com.atguigu.bean.WaterSensor;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.java.tuple.Tuple;
import org.apache.flink.api.java.tuple.Tuple1;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.table.annotation.DataTypeHint;
import org.apache.flink.table.annotation.FunctionHint;
import org.apache.flink.table.api.Table;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
import org.apache.flink.table.functions.TableFunction;
import org.apache.flink.types.Row;

import static org.apache.flink.table.api.Expressions.$;
import static org.apache.flink.table.api.Expressions.call;

public class Flink04_UDF_TableFun {
    public static void main(String[] args) {
        //1.获取流的执行环境
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

        env.setParallelism(1);

        //2.从端口读取数据并转为WaterSensor
        SingleOutputStreamOperator<WaterSensor> waterSensrStream = env.socketTextStream("localhost", 9999)
                .map(new MapFunction<String, WaterSensor>() {
                    @Override
                    public WaterSensor map(String value) throws Exception {
                        String[] split = value.split(",");
                        return new WaterSensor(split[0], Long.parseLong(split[1]), Integer.parseInt(split[2]));
                    }
                });
        //3.获取表的执行环境
        StreamTableEnvironment tableEnv = StreamTableEnvironment.create(env);

        //流转表
        Table table = tableEnv.fromDataStream(waterSensrStream);

        //不注册直接使用
        //TableAPI
//        table
//                .joinLateral(call(MyUDTF.class,$("id")))
//                .select($("id"),$("f0"))
//                .execute()
//                .print();

        //先注册再使用 在sql中使用的话一定要先注册再使用
        tableEnv.createTemporarySystemFunction("subid", MyUDTF.class);
//        table
//                .joinLateral(call("subid",$("id")).as("newId"))
//                .select($("id"),$("newId"))
////                .select($("id"),$("newId"))
//                .execute()
//                .print();

        //SQL
//        tableEnv.executeSql("select id,f0 from "+table+",Lateral table(subid(id))").print();
        tableEnv.executeSql("select id,f0 from "+table+" left join Lateral table(subid(id)) on true").print();



    }

    //表函数
//    根据Id按照下划线切分获取到数据
   public static class MyUDTF extends TableFunction<Tuple1<String>>{
        public void eval(String value){
            String[] strings = value.split("_");
            for (String string : strings) {
                collect(Tuple1.of(string));
            }
        }
    }
//    @FunctionHint(output = @DataTypeHint("Row<subId String>"))
//    public static class MyUDTF extends TableFunction<Row>{
//        public void eval(String value){
//            String[] strings = value.split("_");
//            for (String string : strings) {
//                collect(Row.of(string));
//            }
//        }
//    }
}
